The field of Machine Learning (ML) for combustion research is rapidly advancing, with the UK playing a pivotal role in integrating ML and combustion science, as demonstrated by the increasing volume of research in this area. Machine Learning for Combustion Meeting is co-organised by research groups from Queen Mary University of London, Imperial College London, and the University of Southampton, and provides a forum to present recent advances in ML for combustion science and engineering in (but not limited to) the following areas:

·      Combustion Chemistry Acceleration

·      Modelling Subgrid Scales in Large-Eddy Simulation

·      Flame Diagnostics and Emissions Prediction

·      Anomaly Detection

·      Fuel Design and Engine Optimisation

·      Thermal Runaway Prediction in Li-ion Batteries

The one-day meeting organised under the auspices of Combustion Institute British Section (CIBS) will feature two keynotes and ten invited talks from leading researchers in ML for combustion and the wider research community. The CIBS AGM meeting will be held during the lunch break. The event will conclude with a panel discussion involving key stakeholders in the field.